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<body>This page is the root of the javadoc hierarchy for the BOXER
project.  Software produced by the project includes BOXER (a Java
library for online, anytime learning of polytomous logistic regression
models), as well as a number of auxiliary tool. Those include BORJ
(Bayesian Online Regression in Java), a standalone Java program that
runs machine learning experiments using BOXER.


<h2>Getting started with BOXER and BOXER applications</h2>
<ul>
<li><a href="edu/dimacs/mms/borj/Driver.html">BORJ</a> - a sample BOXER application, and how to use it
<li><a href="edu/dimacs/mms/applications/learning/Repeater.html">Repeater</a> - a more advanced BOXER application
<li><a href="../boxer-user-guide.html">BOXER User Guide</a>
<li><a href="../standard-scenarios.html">Standard Discrimination Handling Scenarios</a> - more usage examples
<li><a href="../tags.html">Overview of the XML elements used by BOXER</a>
<li><a href="../nd.html">Treatment of new discrimination/class labels when parsing a data set</a>
</ul>

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Back to the  <a href="../index.html" target="_top">BOXER and BOXER applications main documentation page</a>
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